Remote Software Engineer (Go, Python, TS) for AI Training

YO AI Labs; Dallas (TX); Remote; USD 83,000 - 152,000; Full time

Job summary

YO AI Labs is seeking a Software Engineer to join on a remote contract basis, focusing on Go, Python, and TypeScript to simulate development scenarios for AI model training.

You will design code, review samples, generate unit tests and documentation, and help refine AI outputs through thoughtful prompts and collaboration with cross-functional teams. Strong communication is essential as you will critique code and share best practices for quality and reproducibility.

Qualifications

• Expert-level proficiency in Go with hands-on project experience.
• Strong command of Python and TypeScript for clean, idiomatic code.
• Excellent written and verbal communication skills.
• Familiarity with software architecture, design patterns, and modern workflows.
• Experience reviewing or analyzing code for correctness and efficiency.
• Knowledge of code documentation best practices and collaboration.
• Interest in AI and machine learning; direct AI experience is a plus.

Responsibilities

• Design and implement code solutions using Go, Python, and TypeScript for AI model training scenarios.
• Review, analyze, and critique sample code and technical materials with detailed feedback.
• Generate high-quality code samples, unit tests, and documentation for AI use cases.
• Identify edge cases and best practices to refine model outputs.
• Contribute to discussions and collaborative reviews to communicate complex ideas.
• Refine prompts and queries used to evaluate AI-generated code outputs.

Skills

Go

Python

TypeScript

Code Review

Documentation

Tools

Git

CI/CD

Job description

YO AI Labs is seeking a Software Engineer to join on a remote contract basis, focusing on Go, Python, and TypeScript to simulate development scenarios for AI model training.

You will design code, review samples, generate unit tests and documentation, and help refine AI outputs through thoughtful prompts and collaboration with cross-functional teams. Strong communication is essential as you will critique code and share best practices for quality and reproducibility.